PhD in Exonic Enhancers: Computational Genomics & Evolution

CNRS - National Center for Scientific Research

France

Sur place

EUR 21 000 - 26 000

Plein temps

Il y a 7 jours
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Avantages offerts par ce poste

Remote work possible
Internal restaurant access
Transport reimbursement

Résumé du poste

CNRS’s Laboratory for Biometry and Evolutionary Biology (LBBE) in Lyon, France, invites applications for a PhD student position funded under the ANR EXONHANCER program.

The project focuses on evolutionary origins of exonic enhancers, integrating genome annotations and comparative genomics, with strong emphasis on Python/R workflows and statistical analysis.

Supervised by Anamaria Necsulea and Benoît Ballester, the PhD will develop reproducible analyses and communicate results in English.

Qualifications

  • Masters in bioinformatics, computational biology, genomics, or related field.
  • Experience with genomic data analysis.
  • Proficiency in Python and/or R.
  • Familiarity with Linux/Unix command line.
  • Ability to work independently and in a team; communicate in English.
  • Background in statistics.

Responsabilités

  • Develop reproducible bioinformatics workflows.
  • Analyze exonic enhancers and comparative genomics data.
  • Visualize and interpret large genomic datasets.
  • Collaborate with supervisors and attend conferences when needed.

Connaissances

Genomic data analysis
Python
R
Linux/Unix
Statistics

Formation

Master's degree in bioinformatics / computational biology / genomics or related field

Outils

Snakemake
Nextflow
Git
High-Performance Computing

Description du poste

CNRS’s Laboratory for Biometry and Evolutionary Biology (LBBE) in Lyon, France, invites applications for a PhD student position funded under the ANR EXONHANCER program.

The project focuses on evolutionary origins of exonic enhancers, integrating genome annotations and comparative genomics, with strong emphasis on Python/R workflows and statistical analysis.

Supervised by Anamaria Necsulea and Benoît Ballester, the PhD will develop reproducible analyses and communicate results in English.

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